| Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial M Zhou, Y Fukuoka, Y Mintz, K Goldberg, P Kaminsky, E Flowers, ... JMIR mHealth and uHealth 6 (1), e9117, 2018 | 80 | 2018 |
| Personalizing mobile fitness apps using reinforcement learning M Zhou, Y Mintz, Y Fukuoka, K Goldberg, E Flowers, P Kaminsky, ... CEUR workshop proceedings 2068, 2018 | 56 | 2018 |
| Nonstationary bandits with habituation and recovery dynamics Y Mintz, A Aswani, P Kaminsky, E Flowers, Y Fukuoka Operations Research 68 (5), 1493-1516, 2020 | 48 | 2020 |
| Behavioral modeling in weight loss interventions A Aswani, P Kaminsky, Y Mintz, E Flowers, Y Fukuoka European journal of operational research 272 (3), 1058-1072, 2019 | 39 | 2019 |
| Hard choices in artificial intelligence R Dobbe, TK Gilbert, Y Mintz Artificial Intelligence 300, 103555, 2021 | 29 | 2021 |
| Applying natural language processing to understand motivational profiles for maintaining physical activity after a mobile app and accelerometer-based intervention: the mPED … Y Fukuoka, TG Lindgren, YD Mintz, J Hooper, A Aswani JMIR mHealth and uHealth 6 (6), e10042, 2018 | 26 | 2018 |
| Behavioral analytics for myopic agents Y Mintz, A Aswani, P Kaminsky, E Flowers, Y Fukuoka arXiv preprint arXiv:1702.05496, 2017 | 19 | 2017 |
| Hard choices in artificial intelligence: Addressing normative uncertainty through sociotechnical commitments R Dobbe, TK Gilbert, Y Mintz arXiv preprint arXiv:1911.09005, 2019 | 10 | 2019 |
| Epistemic therapy for bias in automated decision-making TK Gilbert, Y Mintz Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 61-67, 2019 | 8 | 2019 |
| Control synthesis for bilevel linear model predictive control Y Mintz, JA Cabrera, JR Pedrasa, A Aswani 2018 Annual American Control Conference (ACC), 2338-2343, 2018 | 6 | 2018 |
| Impact of occupancy modeling and horizon length on hvac controller efficiency CR Garaza, P Hespanhol, Y Mintz, JR Pedrasa, A Aswani 2018 European Control Conference (ECC), 1-7, 2018 | 4 | 2018 |
| Local water storage control for the developing world Y Mintz, ZJM Shen, A Aswani 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5074-5079, 2017 | 3 | 2017 |
| Polynomial-time approximation for nonconvex optimization problems with an L1-constraint Y Mintz, A Aswani 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 682-687, 2017 | 3 | 2017 |
| Designing Real-Time Prices to Reduce Load Variability with HVAC JA Cabrera, Y Mintz, JR Pedrasa, A Aswani 2018 Annual American Control Conference (ACC), 6170-6175, 2018 | 2 | 2018 |
| Flexible Regularization Approaches for Fairness in Deep Learning M Olfat, Y Mintz 2020 59th IEEE Conference on Decision and Control (CDC), 3389-3394, 2020 | 1 | 2020 |
| Planning a Community Approach to Diabetes Care in Low-and Middle-Income Countries Using Optimization KB Adams, JJ Boutilier, S Deo, Y Mintz arXiv preprint arXiv:2305.06426, 2023 | | 2023 |
| Model Based Reinforcement Learning for Personalized Heparin Dosing Q He, Y Mintz arXiv preprint arXiv:2304.10000, 2023 | | 2023 |
| The Game of Hidden Rules: A New Challenge for Machine Learning E Pulick, SK Bharti, Y Chen, V Menkov, YD Mintz, P Kantor, VM Bier | | 2023 |
| Optimal Policy for Inventory Management with Periodic and Controlled Resets Y Lee, Y Mintz, A Aswani, ZJM Shen, C Yang arXiv preprint arXiv:2209.03571, 2022 | | 2022 |
| The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning E Pulick, S Bharti, Y Chen, V Menkov, Y Mintz, P Kantor, VM Bier arXiv preprint arXiv:2207.10218, 2022 | | 2022 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
